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Computational methods for breast cancer diagnosis, prognosis, and treatment prediction

Saini, Ashish 2014, Computational methods for breast cancer diagnosis, prognosis, and treatment prediction, Ph.D. thesis, School of Information Technology, Deakin University.

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Title Computational methods for breast cancer diagnosis, prognosis, and treatment prediction
Author Saini, Ashish
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Hou,JingyuORCID iD for Hou,Jingyu orcid.org/0000-0002-6403-9786
Date submitted 2014-08
Keyword(s) breast cancer
protein interactions
diagnotic algorithms
prognostic algorithms
treatment prediction algorithms
Summary The research presented here develops a robust reliability algorithm for the identification of reliable protein interactions that can be incorporated with a gene expression dataset to improve the algorithm performance, and novel breast cancer based diagnostic, prognostic and treatment prediction algorithms, respectively, which take into account the existing issues in order to provide a fair estimation of their performance.
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
080299 Computation Theory and Mathematics not elsewhere classified
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
Description of original xix, 227 pages : tables, graphs, diagrams
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30073094

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Thu, 07 May 2015, 14:08:40 EST by Kate Percival

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.